About 40 AI and Data Science Researchers from the LMU community recently launched the "AIhub@LMU". This new interdisciplinary platform is dedicated to enhancing AI and Data Science research across our university and bringing researchers together, using synergy energies to shape and prepare the future digital society. Therefore, AIhub@LMU will organize networking events for professors, post-docs, and students; incubate large-scale AI and Data Science projects; and link high-profile initiatives like the MCML, Konrad Zuse School of Excellence relAI, AIM@LMU, and the LMU Open Science Center.  This initiative, which is coordinated by Prof. Dr. Eyke Hüllermeier, Prof. Dr. Frauke Kreuter, and Prof. Dr. Gitta Kutyniok, marks a significant stride in advancing our research and collaborative efforts within these critical fields.

Starting this winter semester of 2023/24, LMU is launching a tailored AI minor program, specifically designed for undergraduates from any discipline outside of informatics. This AIM@LMU program coordinated by Prof. Dr. Eyke Hüllermeier emphasizes the increasing significance of AI across industries, sciences, and society. With a curriculum spanning from foundational mathematics to hands-on AI projects, the program seeks to equip students with a multidisciplinary understanding of AI and its relevance to their primary fields of study.

In a recent video interview, Prof. Dr. Barbara Plank, Chair for AI and Computational Linguistics at LMU Munich, gives insight into the nuances of distinguishing human from AI-generated content. As AI language models become more fluent and coherent, recognizing their outputs becomes a complex challenge. Despite this, Plank notes subtle inconsistencies as key indicators. Furthermore, she highlights the ongoing efforts at the MaiNLP research lab at LMU to ensure that future language technologies are inclusive, fair, and robust.

Researchers led by Prof. Dr. Don C. Lamb in the Faculty of Chemistry and Pharmacy have harnessed the power of deep learning to streamline the analysis of intricate molecular data. As advancements in technology allow scientists to observe individual molecules with unprecedented detail, the resulting data's complexity can be overwhelming. This innovative approach promises to significantly reduce the time and potential for error in interpreting such data, enhancing the insights gained from nano-scale investigations.

On 29th November 2023 from 6:15 pm to 8:00 pm, this year's "Symposium on AI Research" taking place in LMU's Große Aula will showcase the next generation of AI research at LMU. The evening will start with introductions by Vice-President Prof. Dr. Oliver Jahraus, Michael Greiner of the Bavarian State Ministry of Science and Art, Dr. Michael Klimke from baiosphere, and remarks by Prof. Dr. Gitta Kutyniok. Ten newly appointed AI Professors will then showcase their groundbreaking research, delving into areas from medicine and finance to cultural heritage. The event concludes with a reception at the Lichthof.

The National Research Data Infrastructure (NFDI) will change the landscape of Research Data Management (RDM) in the next ten years. To raise awareness and to showcase the activities of the NFDI, the RDM information @ University Library LMU invites you to their hybrid meeting. The event will introduce the topic Open Research Data and the corresponding LMU activities – with input by the Open Science Center, Research Funding (Unit VIII.3) and the University Library. The introduction is followed by a talk by Prof. Dr. Albrecht Schmidt the “Future of Publications and Scientific Exchange in the Age of AI”.

The 3rd edition of AutoML Fall School is scheduled for Nov 27-30 in Munich, marking a collaborative effort between the universities of Munich, Freiburg, and Hannover, organized locally by Prof. Dr. Bernd Bischl, Prof. Dr. Matthias Feurer, and Dr. Marcel Wever, and sponsored by the MCML. It serves as a valuable platform for advanced Master’s students, early Ph.D. students, and ML practitioners to deepen their understanding of AutoML. 

On November 17th and 18th, a collaborative event is set to take place at LMU, organized in partnership with the Munich Center for Machine Learning, impACTup!, Netlight Consulting GmbH, and the ZD.B / LMU Media Informatics Group. The event seeks to explore the role of AI in food security, drawing insights from notable AI researchers, entrepreneurs, and representatives from the World Food Programme. Participants will have the opportunity to discuss current challenges and to present AI-driven approaches to address food security. It promises a thoughtful exploration of the interplay between technology and global food concerns.